Journal Of Big Data,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: May 14, 2024
Abstract
Big
Data
is
still
gaining
attention
as
a
fundamental
building
block
of
the
Artificial
Intelligence
and
Machine
Learning
world.
Therefore,
lot
effort
has
been
pushed
into
research
in
last
15
years.
The
objective
this
Systematic
Literature
Review
to
summarize
current
state
art
previous
years
about
by
providing
answers
set
questions
related
main
application
domains
for
analytics;
significant
challenges
limitations
researchers
have
encountered
analysis,
emerging
trends
future
directions
Data.
review
follows
predefined
procedure
that
automatically
searches
five
well-known
digital
libraries.
After
applying
selection
criteria
results,
189
primary
studies
were
identified
relevant,
which
32
Reviews.
Required
information
was
extracted
from
summarized.
Our
sketched
picture
Data,
identifying
domains,
challenges,
field.
We
believe
substantial
amount
work
remains
be
done
align
seamlessly
integrate
data-driven
advanced
software
solutions
future.
World Journal of Advanced Research and Reviews,
Journal Year:
2024,
Volume and Issue:
21(1), P. 1373 - 1382
Published: Jan. 19, 2024
Integrating
the
Internet
of
Things
(IoT)
and
Artificial
Intelligence
(AI)
in
smart
water
management
revolutionizes
sustainable
resource
utilization.
This
comprehensive
review
explores
these
technologies'
benefits,
challenges,
regulatory
implications,
future
trends.
Smart
enhances
operational
efficiency,
predictive
maintenance,
conservation
while
addressing
data
security
infrastructure
investment
challenges.
Regulatory
frameworks
play
a
pivotal
role
shaping
responsible
deployment
AI
IoT,
ensuring
privacy
ethical
use.
Future
trends
include
advanced
sensors,
decentralized
systems,
quantum
computing,
blockchain
for
enhanced
security.
The
alignment
with
Sustainable
Development
Goals
(SDGs)
underscores
transformative
potential
achieving
universal
access
to
clean
water,
climate
resilience,
inclusive,
development.
As
we
embrace
technologies,
collaboration,
public
awareness,
considerations
will
guide
evolution
intelligent
equitable
systems.
Energy Reviews,
Journal Year:
2024,
Volume and Issue:
3(2), P. 100071 - 100071
Published: Feb. 9, 2024
Recent
studies
show
that
artificial
intelligence
(AI),
such
as
machine
learning
and
deep
learning,
models
can
be
adopted
have
advantages
in
fault
detection
diagnosis
for
building
energy
systems.
This
paper
aims
to
conduct
a
comprehensive
systematic
literature
review
on
(FDD)
methods
heating,
ventilation,
air
conditioning
(HVAC)
covers
the
period
from
2013
2023
identify
analyze
existing
research
this
field.
Our
work
concentrates
explicitly
synthesizing
AI-based
FDD
techniques,
particularly
summarizing
these
offering
classification.
First,
we
discuss
challenges
while
developing
HVAC
Next,
classify
into
three
categories:
those
based
traditional
hybrid
AI
models.
Additionally,
also
examine
physical
model-based
compare
them
with
methods.
The
analysis
concludes
FDD,
despite
its
higher
accuracy
reduced
reliance
expert
knowledge,
has
garnered
considerable
interest
compared
physics-based
However,
it
still
encounters
difficulties
dynamic
time-varying
environments
achieving
resolution.
Addressing
is
essential
facilitate
widespread
adoption
of
HVAC.
Discover Artificial Intelligence,
Journal Year:
2024,
Volume and Issue:
4(1)
Published: March 26, 2024
Abstract
Artificial
intelligence
(AI)
is
reshaping
humanity's
future,
and
this
manuscript
provides
a
comprehensive
exploration
of
its
implications,
applications,
challenges,
opportunities.
The
revolutionary
potential
AI
investigated
across
numerous
sectors,
with
focus
on
addressing
global
concerns.
influence
areas
such
as
healthcare,
transportation,
banking,
education
revealed
through
historical
insights
conversations
different
systems.
Ethical
considerations
the
significance
responsible
development
are
addressed.
Furthermore,
study
investigates
AI's
involvement
in
issues
climate
change,
public
health,
social
justice.
This
paper
serves
resource
for
policymakers,
researchers,
practitioners
understanding
complex
link
between
humans.
World Journal of Advanced Research and Reviews,
Journal Year:
2024,
Volume and Issue:
21(3), P. 829 - 841
Published: March 11, 2024
Building
Energy
Management
Systems
(BEMS)
play
a
crucial
role
in
enhancing
energy
efficiency
and
sustainability
buildings.
This
abstract
provides
comprehensive
review
of
BEMS,
focusing
on
its
components,
benefits,
challenges,
future
trends.
BEMS
is
centralized
system
that
monitors
controls
building
services,
such
as
heating,
ventilation,
air
conditioning,
lighting,
other
systems,
to
improve
occupant
comfort.
The
key
components
include
sensors,
controllers,
communication
networks,
user
interfaces.
These
work
together
collect
data
performance,
analyze
consumption
patterns,
optimize
operation.
One
the
primary
benefits
ability
reduce
costs.
By
monitoring
controlling
systems
based
occupancy
schedules
environmental
conditions,
can
significantly
waste.
Additionally,
comfort
productivity
by
maintaining
optimal
indoor
conditions.
Despite
faces
several
including
high
upfront
costs,
complexity
installation,
integration
issues
with
existing
systems.
However,
advancements
technology,
Internet
Things
(IoT)
cloud
computing,
are
addressing
these
challenges
making
more
accessible
cost-effective.
Looking
ahead,
promising,
continued
technology
driving
adoption
into
smart
artificial
intelligence
machine
learning
algorithms
expected
further
energy-saving
capabilities
enhance
performance.
In
conclusion,
for
improving
leveraging
capabilities,
help
consumption,
lower
create
healthier
comfortable
environments.
